if AI is not citing your content
the problem may not be your expertise
it may be your file format
so
a lot of companies are publishing solid content that humans can read
just fine but AI systems can't reliably fetch it
structure it ground it
or tie it back to one clear source
when that happens the model either skips you or cites someone else
or fills in the blanks so in this video
I wanna break down which
type of files that LLMs actually prefer for citations
and more importantly
how to package your content so AI can trust it fast hi
I'm Kevin Roy of Green Banana SEO and search is changing fast
and people aren't clicking the 10 blue links first
they're getting an answer from AI
so the new goal isn't just to rank
it's to become the source that AI sites
and on this channel I'm gonna show you the exact no BS
no buzzword marketing junk that strings you along
wait for an answer that never comes
I'm gonna show you the systems that we use here to earn visibility
in Google AI overviews AI mode chat GPT
Gemini Perplexity
and more we cover content architecture
empty signals schema measurement
and anything else that works
so these videos are built as a framework
so that you can copy and leave with a plan
not just ideas
now here's the big idea
llms don't just prefer one magical file type
they prefer clean citation package
and that package usually looks like this
a clean HTML page a readable JSON version of the same content
a durable PDF mirror and if you have video or audio or a transcript
in the right media schema
that's the real play that's why I'm doing these videos
let's start with the most important move
for every important piece of content
publish a machine readable JSON import
that could be something like a claim dot Json or a post dot Json
why does that matter
because now you're not forcing AI systems to guess what the page is
you're handing them a structured version with a stable ID
a source URL a title
a summary and a publish date
that makes grounding for them easier
then on the page itself
your visible headline should clearly match the claim in the JSON
so this JSON is schema by the way
it's a huge mistake that people make
their page headline says one thing
and their meta data says something else
and then the body wanders off into three different ideas
that creates ambiguity and ambiguity kills citations
so making the page obvious
one strong headline one clear claim
one source of truth pdfs
a lot of people overlook pdfs
I personally don't like them
but they are still very strong supporting an asset
because they tend to be durable
portable and consistently indexed
so if you have an important article
a report or a research page
create a clean PDF mirror of it and don't just export it and forget it
add a strong XMP meta data title
author published date
description and canonical URL
and then you can host it at a predictable URL
and link it from a main page
you can put all that stuff inside of a PDF
and why because you have another stable version of the same content
that points back to the source
now let's talk multimedia
if you publish video or podcast content
and you want AI systems to ground answers to it
don't stop at the embed you need a transcript
ideally a dot vtt or a dot SRT file as a stable URL
then add a video object audio object schema with the name description
duration content URL and bed URL
update date and transcript if appropriate
this is one of the easiest wins right now because without a transcript
you're asking the model to infer meaning from the media
with a transcript
you're actually giving it the text to retrieve and compare it
and quote now if you publish research studies
original data this matters even more
those pages should have a dataset level structure
that means a simple dataset
.Json file versioning distribution links
a CSV and daily checksums and source references if you have them why
because AI systems trust content more
when it's easy to verify and easier to tie to a stable source
so if I had to simplify this whole thing
into one sentence it would be this
llms don't prefer one file type
they prefer consistency across formats
clean HTML matching Json Schema
durable Pdfs transcript back media
stable URLs clean metadata
and that's how you make content citation ready
and before you publish it
just run a fast QA check
does the on page claim match exactly the Json of your schema claim
can the Json slash schema be fetched cleanly
does the PDF work point back to the canonical URL
basically points back to the link
if it's a video do the transcripts and schema resolve or they match
if it's these pieces line up you're giving AI
systems a much better shot at grounding answers in your content
instead of guessing
that's the real takeaway here
THANK YOU